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A Piezoresistive Pressure Sensor Modeling by Artificial Neural Networks

Type de record:

paper
Créateur:
HadShaSheEgh
Éditeur:
Sha
Éditeur:
Isl
Hôte:avatar
Journal of Optoelectronical Nanostructures, 9(4), 69 Journal of Optoelectronical Nanostructures,9(4),69 An efficient artificial neural network (ANN) model for a pressure sensor is presented in this paper. This pressure sensor has a piezoresistive structure and its experimental data is used in this work to train and test the proposed ANN model. The selected network is a multi-layer perceptions ANN type, which has one hidden layer with five neurons inside. The proposed MLP modelled system has been trained to recognize the output of the pressure sensor, which is a generated voltage in millivolts, according to the temperature and pressure levels. The obtained mean square relative error (MSRE) error of this method is only 0.137 for test data set.

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doi.orgsanad.iau.ir

Tags

ANNModellingPiezoresistive sensor

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Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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